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You searched for: subject:"signal constellations"
[movies]6.450 Principles of Digital Communications I, Fall 2006 - MIT OpenCourseWare
The course serves as an introduction to the theory and practice behind many of today's communications systems. 6.450 forms the first of a two-course sequence on digital communication. The second class, 6.451, is offered in the spring. Topics covered include: digital communications at the block diagram level, data compression, Lempel-Ziv algorithm, scalar and vector quantization, sampling and aliasing, the Nyquist criterion, PAM and QAM modulation, signal constellations, finite-energy waveform sp...
Keywords: digital communication, data compression, Lempel-Ziv algorithm, scalar quantization, vector quantization, sampling, aliasing, Nyquist criterion, PAM modulation, QAM modulation, signal constellations, finite-energy waveform spaces, detection, communication system design
Downloads: 34,803
[movies]MIT 6.450 Principles of Digital Communications I (revised), Fall 2006 - MIT OpenCourseWare
*This version has overhead slides that have had been adjusted for better readability. The course serves as an introduction to the theory and practice behind many of today's communications systems. 6.450 forms the first of a two-course sequence on digital communication. The second class, 6.451, is offered in the spring. Topics covered include: digital communications at the block diagram level, data compression, Lempel-Ziv algorithm, scalar and vector quantization, sampling and aliasing, the Nyqui...
Keywords: digital communication; data compression; Lempel-Ziv algorithm; scalar quantization; vector quantization; sampling; aliasing; Nyquist criterion; PAM modulation; QAM modulation; signal constellations; finite-energy waveform spaces; detection; communication system design
Downloads: 44,588
[movies]6.451 Principles of Digital Communication II, Spring 2005 - OCW
Instructor: Prof. David ForneyThis course is the second of a two-term sequence with 6.450. The focus is on coding techniques for approaching the Shannon limit of additive white Gaussian noise (AWGN) channels, their performance analysis, and design principles. After a review of 6.450 and the Shannon limit for AWGN channels, the course begins by discussing small signal constellations, performance analysis and coding gain, and hard-decision and soft-decision decoding...
Keywords: coding techniques; the Shannon limit of additive white Gaussian noise channels; performance analysis; Small signal constellations; performance analysis; coding gain; Hard-decision and soft-decision decoding; Introduction to binary linear block codes; Reed-Muller codes; finite fields; Reed-Solomon and BCH codes; binary linear convolutional codes; Viterbi and BCJR algorithms; Trellis representations of binary linear block codes; trellis-based ML decoding; Codes on graphs; sum-product; max-product; decoding algorithms; Turbo codes; LDPC codes and RA codes; Coding for the bandwidth-limited regime; Lattice codes; Trellis-coded modulation; Multilevel coding; Shaping
Downloads: 30,525
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